notes-model-thinking

Author

Oren Bochman

Categories

All (13)

Agent-Based Modelling (1)

Aggregation (1)

Arrow Impossibility theorem (1)

Behavioral model (1)

Big coefficient (1)

Categorical Models (1)

Cellular automata (1)

Central limit theorem (1)

Chaos (1)

Collatz problem (1)

Condorcet paradox (1)

Contagion models (2)

Conway's game of life (1)

Coordination (1)

Course introduction (1)

Culture (1)

Decision Models (1)

Decision trees (1)

Diffusion (2)

Diversity (1)

Diversity index (2)

ESTIC (1)

Entropy (2)

Granovettor's Threshold Model (1)

Herd Immunity (2)

Heuristics (1)

Homophily (1)

Identification Problem (1)

Increasing Returns (1)

Index of Dissimilarity (1)

Innovation (1)

Langton’s Lambda (1)

Linear model (1)

Logistic Regression (1)

Lyapunov function (1)

Lyapunov functions (1)

Markov Chain (1)

Markov Processes (1)

Mew reality thinking (1)

Model thinking (13)

Multi-criterion Decision-making (1)

Multiple Regression (1)

PHAT dependence (1)

Path dependence (1)

Peer effects (1)

Percolation models (2)

Problem solving (1)

R-squared (1)

R0 (2)

Rational Actor model (1)

Rule-based models (1)

SIR model (2)

SIS model (2)

Schelling's Segregation Model (1)

Segregation (1)

Six Sigma (1)

Sorting (1)

Spatial choice models (1)

Standing Ovation Model (1)

Tipping points (2)

Urn Models (1)

Value of information (1)

Wisdom of the crowd (1)

Lesson 13 - Path dependence

Model thinking

Path dependence

PHAT dependence

Chaos

ESTIC

Increasing Returns

Urn Models

This is clearly quite different from Markov process models where only the current state matters and history does not.

Lesson 12 - Coordination and Culture

Model thinking

Coordination

Culture

Lyapunov function

Coordination is doing the same somebody else is doing. Culture refers to differences between groups of interacting people. In order to have these differences between groups…

Lesson 11 - Lyapunov Functions

Model thinking

Lyapunov functions

Collatz problem

Lyapunov functions map models into outcomes. We can take a model or a system and ask whether there is a Lyapunov function that describes that model or system. If that is…

Lesson 10 - Markov Processes

Model thinking

Markov Processes

Markov Chain

Markov models consist of entities that can be in a set of states and there are transition probabilities between those states. e.g., there is a set of students. Those…

Lesson 9 - Diversity and innovation

Model thinking

Innovation

Diversity

Problem solving

Wisdom of the crowd

Heuristics

There are several issues regarding to problem solving, e.g. how individuals and teams go about solving problems, the role of diversity in problem solving, how ideas can get…

Lesson 8 - Economic Growth

Model thinking

Tipping points

Percolation models

Contagion models

Diffusion

SIS model

R0

SIR model

Herd Immunity

Entropy

Diversity index

Exponential growth is accumulating over time like interest. It is possible to make primitive models for economic growth. These models show that without innovation, growth…

Lesson 7 - Tipping Points

Model thinking

Tipping points

Percolation models

Contagion models

Diffusion

SIS model

R0

SIR model

Herd Immunity

Entropy

Diversity index

The straw that broke the Camel’s back is utterly ridiculous example. Here is perhaps a few better ones:

Lesson 6 - Categorical and Linear Models

Model thinking

Linear model

Multiple Regression

Categorical Models

Logistic Regression

R-squared

Big coefficient

Mew reality thinking

Categorical models allocates the data into different boxes. For example, trying to understand why some people live longer than others, we could divide them into people who…

Lesson 5 - Thinking Electrons Modelling People

Model thinking

Rational Actor model

Behavioral model

Rule-based models

“Imagine how hard physics would be if electrons could think.” — Murray Gell-Mann (1969 Nobel Laureate in Physics)

Lesson 4 - Decision Models

Model thinking

Decision Models

Multi-criterion Decision-making

Spatial choice models

Decision trees

Value of information

Decision models encode how people make decisions as well as how they should make decisions.

Lesson 3 - Aggregation

Model thinking

Aggregation

Central limit theorem

Six Sigma

Conway’s game of life

Cellular automata

Langton’s Lambda

Condorcet paradox

Arrow Impossibility theorem

More is different. — Physics Nobel Laureate Phillip Anderson, Nobel Memorial Prize Laureate

Lesson 2 - Segregation and Peer Effects

Model thinking

Sorting

Peer effects

Segregation

Homophily

Schelling’s Segregation Model

Index of Dissimilarity

Granovettor’s Threshold Model

Standing Ovation Model

Identification Problem

Agent-Based Modelling

In this lesson we get started by looking at Segregation and Peer Effects. We will look at Schelling’s model, Granovettor’s threshold model, and the standing ovation model.…

Lesson 1 - Why Model?

Course introduction

Model thinking

Perhaps not the subject of this course, but sometimes I wonder

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Citation

BibTeX citation:

@online{bochman,
  author = {Bochman, Oren},
  title = {Notes-Model-Thinking},
  url = {https://orenbochman.github.io/notes-model-thinking/},
  langid = {en}
}

For attribution, please cite this work as:

Bochman, Oren. n.d. “Notes-Model-Thinking.” https://orenbochman.github.io/notes-model-thinking/.